Mihai Surdeanu

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Christopher D ManningProfessor of Computer Science and Linguistics, Stanford UniversityVerified email at stanford.edu
Steven BethardAssociate Professor, University of ArizonaVerified email at arizona.edu
David McCloskyGoogleVerified email at cs.stanford.edu
Marco A. Valenzuela-EscárcegaUniversity of ArizonaVerified email at email.arizona.edu
Lluís MàrquezPrincipal Applied ScientistVerified email at amazon.com
Sanda M. HarabagiuUniversity of Texas at Dallas, ProfessorVerified email at utdallas.edu
Dan JurafskyProfessor of Linguistics and Computer Science, Stanford UniversityVerified email at stanford.edu
Gus Hahn-PowellUniversity of Arizona & Lum AIVerified email at arizona.edu
Dane BellLum AIVerified email at email.arizona.edu
Rebecca SharpPrincipal Data Scientist, Lex MachinaVerified email at lexmachina.com
Jordi TurmoUniversitat Politècnica de CatalunyaVerified email at cs.upc.edu
Massimiliano CiaramitaGoogleVerified email at google.com
Angel ChangSimon Fraser UniversityVerified email at cs.stanford.edu
Peter A JansenAssociate Professor, University of ArizonaVerified email at email.arizona.edu
Ramesh Maruthi NallapatiPrincipal Applied Scientist, Amazon AWS AIVerified email at amazon.com
Jenny Rose FinkelVerified email at cs.stanford.edu
Nathanael ChambersAssociate Professor of Computer Science, US Naval AcademyVerified email at usna.edu
Stephen KobourovProfessor of Computer Science, University of ArizonaVerified email at cs.arizona.edu
Clayton T. MorrisonAssociate Professor, University of ArizonaVerified email at arizona.edu
Richard JohanssonUniversity of Gothenburg and Chalmers University of TechnologyVerified email at gu.se

Mihai Surdeanu

Associate Professor, Computer Science, University of Arizona

Verified email at email.arizona.edu - Homepage

natural language processing applied machine learning artificial intelligence


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The Stanford CoreNLP natural language processing toolkit CD Manning, M Surdeanu, J Bauer, JR Finkel, S Bethard, D McClosky Proceedings of 52nd annual meeting of the association for computational …, 2014	8484	2014
Multi-instance multi-label learning for relation extraction M Surdeanu, J Tibshirani, R Nallapati, CD Manning Proceedings of the 2012 joint conference on empirical methods in natural …, 2012	851	2012
Stanford’s multi-pass sieve coreference resolution system at the conll-2011 shared task H Lee, Y Peirsman, A Chang, N Chambers, M Surdeanu, D Jurafsky Proceedings of the fifteenth conference on computational natural language …, 2011	666	2011
The CoNLL-2009 shared task: Syntactic and semantic dependencies in multiple languages J Hajic, M Ciaramita, R Johansson, D Kawahara, MA Martí, L Màrquez, ... Proceedings of the Thirteenth Conference on Computational Natural Language …, 2009	641	2009
The CoNLL 2008 shared task on joint parsing of syntactic and semantic dependencies M Surdeanu, R Johansson, A Meyers, L Màrquez, J Nivre CoNLL 2008: Proceedings of the Twelfth Conference on Computational Natural …, 2008	607	2008
Deterministic coreference resolution based on entity-centric, precision-ranked rules H Lee, A Chang, Y Peirsman, N Chambers, M Surdeanu, D Jurafsky Computational linguistics 39 (4), 885-916, 2013	589	2013
A multi-pass sieve for coreference resolution K Raghunathan, H Lee, S Rangarajan, N Chambers, M Surdeanu, ... Proceedings of the 2010 conference on empirical methods in natural language …, 2010	541	2010
Using predicate-argument structures for information extraction M Surdeanu, S Harabagiu, J Williams, P Aarseth Proceedings of the 41st Annual Meeting of the Association for Computational …, 2003	536	2003
FALCON: Boosting Knowledge for Answer Engines. SM Harabagiu, DI Moldovan, M Pasca, R Mihalcea, M Surdeanu, ... TREC 9, 479-488, 2000	453	2000
Performance issues and error analysis in an open-domain question answering system D Moldovan, M Paşca, S Harabagiu, M Surdeanu ACM Transactions on Information Systems (TOIS) 21 (2), 133-154, 2003	433	2003
Learning to rank answers on large online QA collections M Surdeanu, M Ciaramita, H Zaragoza proceedings of ACL-08: HLT, 719-727, 2008	305	2008
Joint entity and event coreference resolution across documents H Lee, M Recasens, A Chang, M Surdeanu, D Jurafsky Proceedings of the 2012 Joint Conference on Empirical Methods in Natural …, 2012	258	2012
Event extraction as dependency parsing D McClosky, M Surdeanu, CD Manning Proceedings of the 49th annual meeting of the association for computational …, 2011	220	2011
Learning to rank answers to non-factoid questions from web collections M Surdeanu, M Ciaramita, H Zaragoza Computational linguistics 37 (2), 351-383, 2011	203	2011
On the Importance of Text Analysis for Stock Price Prediction. H Lee, M Surdeanu, B MacCartney, D Jurafsky LREC 2014, 1170-1175, 2014	148	2014
Discourse complements lexical semantics for non-factoid answer reranking P Jansen, M Surdeanu, P Clark Proceedings of the 52nd Annual Meeting of the Association for Computational …, 2014	145	2014
Answering Complex, List and Context Questions with LCC's Question-Answering Server. SM Harabagiu, DI Moldovan, M Pasca, M Surdeanu, R Mihalcea, R Girju, ... TREC, 2001	136	2001
The role of lexico-semantic feedback in open-domain textual question-answering S Harabagiu, D Moldovan, M Pasca, R Mihalcea, M Surdeanu, ... Proceedings of the 39th Annual Meeting of the Association for Computational …, 2001	136	2001
Overview of the TAC2013 Knowledge Base Population Evaluation: English Slot Filling and Temporal Slot Filling. M Surdeanu TAC 8, 2, 2013	131	2013
Combination strategies for semantic role labeling M Surdeanu, L Màrquez, X Carreras, PR Comas Journal of Artificial Intelligence Research 29, 105-151, 2007	117	2007

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